diff --git a/doc/source/whatsnew/v1.5.0.rst b/doc/source/whatsnew/v1.5.0.rst
index bdf811f6a8f6a..8a2a4ea511ec7 100644
--- a/doc/source/whatsnew/v1.5.0.rst
+++ b/doc/source/whatsnew/v1.5.0.rst
@@ -889,6 +889,8 @@ Indexing
 - Bug in setting a NA value (``None`` or ``np.nan``) into a :class:`Series` with int-based :class:`IntervalDtype` incorrectly casting to object dtype instead of a float-based :class:`IntervalDtype` (:issue:`45568`)
 - Bug in indexing setting values into an ``ExtensionDtype`` column with ``df.iloc[:, i] = values`` with ``values`` having the same dtype as ``df.iloc[:, i]`` incorrectly inserting a new array instead of setting in-place (:issue:`33457`)
 - Bug in :meth:`Series.__setitem__` with a non-integer :class:`Index` when using an integer key to set a value that cannot be set inplace where a ``ValueError`` was raised instead of casting to a common dtype (:issue:`45070`)
+- Bug in :meth:`DataFrame.loc` raising ``NotImplementedError`` when setting value into one column :class:`DataFrame` with all null slice as column indexer (:issue:`45469`)
+- Bug in :meth:`DataFrame.loc` not casting ``None`` to ``NA`` when setting value a list into :class:`DataFrame` (:issue:`47987`)
 - Bug in :meth:`Series.__setitem__` when setting incompatible values into a ``PeriodDtype`` or ``IntervalDtype`` :class:`Series` raising when indexing with a boolean mask but coercing when indexing with otherwise-equivalent indexers; these now consistently coerce, along with :meth:`Series.mask` and :meth:`Series.where` (:issue:`45768`)
 - Bug in :meth:`DataFrame.where` with multiple columns with datetime-like dtypes failing to downcast results consistent with other dtypes (:issue:`45837`)
 - Bug in :func:`isin` upcasting to ``float64`` with unsigned integer dtype and list-like argument without a dtype (:issue:`46485`)
diff --git a/pandas/core/arrays/string_.py b/pandas/core/arrays/string_.py
index c68ffec600c8a..e2bc08c03ed3c 100644
--- a/pandas/core/arrays/string_.py
+++ b/pandas/core/arrays/string_.py
@@ -409,6 +409,8 @@ def __setitem__(self, key, value):
             if len(value) and not lib.is_string_array(value, skipna=True):
                 raise ValueError("Must provide strings.")
 
+            value[isna(value)] = libmissing.NA
+
         super().__setitem__(key, value)
 
     def _putmask(self, mask: npt.NDArray[np.bool_], value) -> None:
diff --git a/pandas/core/internals/blocks.py b/pandas/core/internals/blocks.py
index a70f9b7b20d5a..852e75619df89 100644
--- a/pandas/core/internals/blocks.py
+++ b/pandas/core/internals/blocks.py
@@ -1719,6 +1719,10 @@ def _unwrap_setitem_indexer(self, indexer):
                 elif lib.is_integer(indexer[1]) and indexer[1] == 0:
                     # reached via setitem_single_block passing the whole indexer
                     indexer = indexer[0]
+
+                elif com.is_null_slice(indexer[1]):
+                    indexer = indexer[0]
+
                 else:
                     raise NotImplementedError(
                         "This should not be reached. Please report a bug at "
diff --git a/pandas/tests/frame/indexing/test_indexing.py b/pandas/tests/frame/indexing/test_indexing.py
index 24d7365b52159..34668193ed132 100644
--- a/pandas/tests/frame/indexing/test_indexing.py
+++ b/pandas/tests/frame/indexing/test_indexing.py
@@ -1340,6 +1340,22 @@ def test_loc_internals_not_updated_correctly(self):
         )
         tm.assert_series_equal(result, expected)
 
+    @pytest.mark.parametrize("val", [None, [None], pd.NA, [pd.NA]])
+    def test_iloc_setitem_string_list_na(self, val):
+        # GH#45469
+        df = DataFrame({"a": ["a", "b", "c"]}, dtype="string")
+        df.iloc[[0], :] = val
+        expected = DataFrame({"a": [pd.NA, "b", "c"]}, dtype="string")
+        tm.assert_frame_equal(df, expected)
+
+    @pytest.mark.parametrize("val", [None, pd.NA])
+    def test_iloc_setitem_string_na(self, val):
+        # GH#45469
+        df = DataFrame({"a": ["a", "b", "c"]}, dtype="string")
+        df.iloc[0, :] = val
+        expected = DataFrame({"a": [pd.NA, "b", "c"]}, dtype="string")
+        tm.assert_frame_equal(df, expected)
+
 
 class TestDataFrameIndexingUInt64:
     def test_setitem(self, uint64_frame):